Mining minimal distinguishing subsequence patterns with gap constraints
CanTree: a canonical-order tree for incremental frequent-pattern mining
Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers
Handicapping attacker's confidence: an alternative to k-anonymization
Making clustering in delay-vector space meaningful
Editorial: Special issue on mining low-quality data
Automatic outlier detection for time series: an application to sensor data
Solving multi-instance problems with classifier ensemble based on constructive clustering
The pairwise attribute noise detection algorithm
Data quality awareness: a case study for cost optimal association rule mining
Inference of abduction theories for handling incompleteness in first-order learning
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
Finding the most unusual time series subsequence: algorithms and applications
Detecting anomalies in cross-classified streams: a Bayesian approach
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Handling non-canonical software requirements based on Annotated Predicate Calculus
Node similarity in the citation graph